Impact of an educational program and decision tool on choice of maternity hospital: the delivery decisions randomized clinical trial.

Cesarean delivery Patient engagement Public reporting of quality Randomized controlled trial

Journal

BMC pregnancy and childbirth
ISSN: 1471-2393
Titre abrégé: BMC Pregnancy Childbirth
Pays: England
ID NLM: 100967799

Informations de publication

Date de publication:
10 Oct 2022
Historique:
received: 04 04 2022
accepted: 28 09 2022
entrez: 10 10 2022
pubmed: 11 10 2022
medline: 13 10 2022
Statut: epublish

Résumé

Reducing cesarean rates is a public health priority. To help pregnant people select hospitals with lower cesarean rates, numerous organizations publish publically hospital cesarean rate data. Few pregnant people use these data when deciding where to deliver. We sought to determine whether making cesarean rate data more accessible and understandable increases the likelihood of pregnant people selecting low-cesarean rate hospitals. We conducted a 1:1 randomized controlled trial in 2019-2021 among users of a fertility and pregnancy mobile application. Eligible participants were trying to conceive for fewer than five months or were 28-104 days into their pregnancies. Of 189,456 participants approached and enrolled, 120,621 participants met entry criteria and were included in analyses. The intervention group was offered an educational program explaining the importance of hospital cesarean rates and an interactive tool presenting hospital cesarean rates as 1-to-5-star ratings. Control group users were offered an educational program about hospital choice and a hospital choice tool without cesarean rate data. The primary outcome was the star rating of the hospital selected by each patient during pregnancy. Secondary outcomes were the importance of cesarean rates in choosing a hospital and delivery method (post-hoc secondary outcome). Of 120,621 participants (mean [SD] age, 27.8 [7.9]), 12,284 (10.2%) reported their choice of hospital during pregnancy, with similar reporting rates in the intervention and control groups. Intervention group participants selected hospitals with higher star ratings (2.52 vs 2.16; difference, 0.37 [95% CI, 0.32 to 0.43] p < 0.001) and were more likely to believe that the hospitals they chose would impact their chances of having cesarean deliveries (38.5% vs 33.1%, p < 0.001) but did not assign higher priority to cesarean delivery rates when choosing their hospitals (76.2% vs 74.3%, p = 0.05). There was no difference in self-reported cesarean rates between the intervention and control groups (31.4% vs 31.4%, p = 0.98). People offered an educational program and interactive tool to compare hospital cesarean rates were more likely to use cesarean data in selecting a hospital and selected hospitals with lower cesarean rates but were not less likely to have a cesarean. Registered December 9, 2016 at clinicaltrials.gov, First enrollment November 2019. ID NCT02987803, https://clinicaltrials.gov/ct2/show/NCT02987803.

Sections du résumé

BACKGROUND BACKGROUND
Reducing cesarean rates is a public health priority. To help pregnant people select hospitals with lower cesarean rates, numerous organizations publish publically hospital cesarean rate data. Few pregnant people use these data when deciding where to deliver. We sought to determine whether making cesarean rate data more accessible and understandable increases the likelihood of pregnant people selecting low-cesarean rate hospitals.
METHODS METHODS
We conducted a 1:1 randomized controlled trial in 2019-2021 among users of a fertility and pregnancy mobile application. Eligible participants were trying to conceive for fewer than five months or were 28-104 days into their pregnancies. Of 189,456 participants approached and enrolled, 120,621 participants met entry criteria and were included in analyses. The intervention group was offered an educational program explaining the importance of hospital cesarean rates and an interactive tool presenting hospital cesarean rates as 1-to-5-star ratings. Control group users were offered an educational program about hospital choice and a hospital choice tool without cesarean rate data. The primary outcome was the star rating of the hospital selected by each patient during pregnancy. Secondary outcomes were the importance of cesarean rates in choosing a hospital and delivery method (post-hoc secondary outcome).
RESULTS RESULTS
Of 120,621 participants (mean [SD] age, 27.8 [7.9]), 12,284 (10.2%) reported their choice of hospital during pregnancy, with similar reporting rates in the intervention and control groups. Intervention group participants selected hospitals with higher star ratings (2.52 vs 2.16; difference, 0.37 [95% CI, 0.32 to 0.43] p < 0.001) and were more likely to believe that the hospitals they chose would impact their chances of having cesarean deliveries (38.5% vs 33.1%, p < 0.001) but did not assign higher priority to cesarean delivery rates when choosing their hospitals (76.2% vs 74.3%, p = 0.05). There was no difference in self-reported cesarean rates between the intervention and control groups (31.4% vs 31.4%, p = 0.98).
CONCLUSION CONCLUSIONS
People offered an educational program and interactive tool to compare hospital cesarean rates were more likely to use cesarean data in selecting a hospital and selected hospitals with lower cesarean rates but were not less likely to have a cesarean.
CLINICAL TRIAL REGISTRATION BACKGROUND
Registered December 9, 2016 at clinicaltrials.gov, First enrollment November 2019. ID NCT02987803, https://clinicaltrials.gov/ct2/show/NCT02987803.

Identifiants

pubmed: 36217115
doi: 10.1186/s12884-022-05087-y
pii: 10.1186/s12884-022-05087-y
pmc: PMC9549827
doi:

Banques de données

ClinicalTrials.gov
['NCT02987803']

Types de publication

Journal Article Randomized Controlled Trial

Langues

eng

Sous-ensembles de citation

IM

Pagination

759

Informations de copyright

© 2022. The Author(s).

Références

PLoS One. 2013;8(3):e57817
pubmed: 23526952
Matern Child Health J. 2015 Jan;19(1):84-93
pubmed: 24770955
Birth. 2008 Jun;35(2):92-7
pubmed: 18507579
Obstet Gynecol. 2019 Jan;133(1):e73-e77
pubmed: 30575678
NCHS Data Brief. 2018 Oct;(323):1-8
pubmed: 30475685
JAMA. 2013 Jan 16;309(3):267-74
pubmed: 23321765
Natl Vital Stat Rep. 2021 Apr;70(2):1-51
pubmed: 33814033
Med Care Res Rev. 2002 Mar;59(1):104-16
pubmed: 11877876
Am J Obstet Gynecol. 2016 Aug;215(2):143-52
pubmed: 27179441
J Perinat Educ. 2000 Spring;9(2):8-13
pubmed: 17273201
Med Care Res Rev. 2006 Dec;63(6):701-18
pubmed: 17099122
Med Care. 2009 Jan;47(1):1-8
pubmed: 19106724
J Health Econ. 2012 Jan;31(1):50-61
pubmed: 22307033
Birth. 2017 Jun;44(2):120-127
pubmed: 28124390
Health Serv Res. 2016 Jun;51 Suppl 2:1188-211
pubmed: 26927831
Jt Comm J Qual Improv. 2001 Jan;27(1):20-7
pubmed: 11147237
Med Care Res Rev. 2007 Apr;64(2):169-90
pubmed: 17406019
Am J Manag Care. 2019 Feb 1;25(2):e33-e38
pubmed: 30763041
Vital Health Stat 2. 2014 Apr;(166):1-73
pubmed: 24776070
CMAJ. 2007 Feb 13;176(4):455-60
pubmed: 17296957
Health Expect. 2020 Aug;23(4):969-971
pubmed: 32449262
Obstet Gynecol. 2006 Sep;108(3 Pt 1):541-8
pubmed: 16946213
Women Birth. 2018 Dec;31(6):e389-e394
pubmed: 29198502
Am J Obstet Gynecol. 2014 Mar;210(3):179-93
pubmed: 24565430
J Health Econ. 2016 Sep;49:136-52
pubmed: 27423014
PLoS Med. 2014 Oct 21;11(10):e1001745
pubmed: 25333943

Auteurs

Ateev Mehrotra (A)

Department of Health Care Policy, Harvard Medical School, 180 Longwood Ave, Boston, MA, 02115, 617-432-3905, US. mehrotra@hcp.med.harvard.edu.

Adam Wolfberg (A)

Ovia Health, Boston, MA, US.

Neel T Shah (NT)

Ariadne Labs, Harvard T.H. Chan School of Public Health, Boston, MA, US.
Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, MA, US.

Avery Plough (A)

Ariadne Labs, Harvard T.H. Chan School of Public Health, Boston, MA, US.

Amber Weiseth (A)

Ariadne Labs, Harvard T.H. Chan School of Public Health, Boston, MA, US.

Arianna I Blaine (AI)

Ovia Health, Boston, MA, US.

Katie Noddin (K)

Ovia Health, Boston, MA, US.

Carter H Nakamoto (CH)

Department of Health Care Policy, Harvard Medical School, 180 Longwood Ave, Boston, MA, 02115, 617-432-3905, US.

Jessica V Richard (JV)

Department of Health Care Policy, Harvard Medical School, 180 Longwood Ave, Boston, MA, 02115, 617-432-3905, US.

Dani Bradley (D)

Ovia Health, Boston, MA, US.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH